護理方面關于人工智能的構想

No Matter What People Tell You, Words And Ideas Can Change The World. — Robin Williams

人們所說的話無所謂，言語和思想可以改變世界。 —羅賓·威廉姆斯

Beginners in this field have become accustomed to reinventing existing projects as part of their portfolio projects and this is not a good thing. What makes you unique out of the hundreds of learners with the same projects you have built? What makes you stand out as a data scientist, AI, or ML engineer? In this article, I am going to share with you some tips on ‘generating’ your data science, AI, or ML projects to appear unique at what you do.

該領域的初學者已經習慣于將現有項目重塑為他們的投資組合項目的一部分，這不是一件好事。 是什么讓您從擁有相同項目的數百個學習者中脫穎而出？ 是什么讓您脫穎而出成為數據科學家，人工智能或機器學習工程師？ 在本文中，我將與您分享一些有關“生成”數據科學，AI或ML項目以使您所做的工作顯得獨特的提示。

重新發明，但有風格 (Re-invent, But With Style)

This point aims at exploring your innovative skills. Being an innovator is a very essential skill required of every data scientist, AI, or ML engineer. Your ability to take an existing solution and develop it more to yield better results or insights will go far to help your career as a data scientist, AI, or ML engineer. For instance, you can take the popular project, ‘Predicting Boston House Prices’ and rebuild this project to be true for your specific or current city. Test your innovative skills, explore new datasets, use better algorithms, and tune hyper-parameters to fit your model more perfectly than it currently is. By doing these things to existing projects, you give them a new feel and create an image of professionalism.

這一點旨在探索您的創新技能。 成為創新者是每位數據科學家，AI或ML工程師必備的非常重要的技能。 您采用現有解決方案并進行更多開發以產生更好的結果或見解的能力將極大地幫助您成為數據科學家，AI或ML工程師。 例如，您可以采用流行的項目“預測波士頓房屋價格”，然后重新構建此項目以使其適合您的特定或當前城市。 測試您的創新技能，探索新的數據集，使用更好的算法以及調整超參數以使其模型比當前更完美。 通過對現有項目執行這些操作，您可以給他們帶來新的感覺并創建專業形象。

If you want something new, you have to stop doing something old.–Peter F. Drucker

如果您想要新的東西，就必須停止做舊的事情。–Peter F. Drucker

召喚您的內在創造力自我 (Summon Your Inner Creative Self)

Creativity involves breaking out of expected patterns in order to look at things in a different way. — Edward de Bono

創造力涉及打破預期的模式，以便以不同的方式看待事物。 —愛德華·德波諾

To come up with awesome and unique AI, ML, or data science ideas, one must be creative and willing to attempt things that have never been done. You should have the desire to birth something that most people will tag as ‘absurd’ or ‘impossible’. Yes, sometimes some ideas are rather absurd and aren’t worth the time, but here are a few ways you can come up with ideas that are worth the try.

為了提出很棒的獨特AI，ML或數據科學構想，必須有創造力并且愿意嘗試從未完成的事情。 您應該希望出生一些被大多數人稱為“荒謬”或“不可能”的東西。 是的，有時有些想法很荒謬，不值得花時間，但是這里有幾種方法可以提出值得嘗試的想法。

• “what if I could make…”

  “如果我能做的話……”

This is the most common way to come up with an idea. It generally signifies you have an existing problem and you are thinking of a way to solve it. In this case, before you go any further, do some background checks on the problem and check to see if there are currently existing solutions. If there are solutions that will perfectly solve your problem, there would be no need to go further. If there aren’t, see how best you can tackle the problem.

這是提出想法的最常用方法。 它通常表示您有一個現有的問題，并且正在考慮解決的方法。 在這種情況下，在進行任何進一步的操作之前，請對問題進行一些背景檢查，并檢查是否存在當前的解決方案。 如果有解決方案可以完美解決您的問題，則無需走更遠的路。 如果沒有，請查看如何最好地解決該問題。

• “This would work better if it were like this instead”

  “如果這樣的話，這樣做會更好”

Here, you know of an existing solution and are seeking to make it better in a way or two. Go for it, don’t let the existence of an existing solution stop you from making it better. Give it the best you’ve got, the odds are there might be hundreds of people with your same problem and you might end helping so many people by taking that project. In my subsequent stories, I’ll talk about how I came up with the idea that led to writing my first python machine learning package.

在這里，您了解現有的解決方案，并且正在尋求以一兩種方式進行改進。 努力吧，不要讓現有解決方案的存在使您無法使其變得更好。 盡力而為，就可能有成百上千的人遇到同樣的問題，而您可能最終會通過參加該項目而幫助那么多人。 在接下來的故事中，我將討論如何提出導致編寫第一個python機器學習包的想法。

Photo by The Creative Exchange on Unsplash圖片由The Creative Exchange在Unsplash上攝

檢查可行性 (Check The Feasibility)

This is probably the most important thing to consider before starting work on any project. You need to know whether the project idea is executable. Ask yourself a few questions concerning your idea before you kickstart implementation.

在任何項目上開始工作之前，這可能是最重要的考慮因素。 您需要知道項目構想是否可執行。 在開始實施之前，請問自己一些有關您的想法的問題。

• Does My Idea Solve A Genuine Problem?

  我的想法能解決一個真正的問題嗎？

Unless you are building a project for the fun of it, every project you build should aim at solving a genuine problem. A problem that is worth solving and would make an impact on the existing methodology. If your answer to this question is yes, you can go ahead to answer the next question.

除非您是出于樂趣而構建項目，否則構建的每個項目都應著眼于解決真正的問題。 一個值得解決的問題，它將對現有方法產生影響。 如果您對這個問題的回答是“是”，則可以繼續回答下一個問題。

• Is My Idea Possible To Implement With The Current Technologies At Hand?

  我的想法可以用當前的技術來實施嗎？

Even though Artificial Intelligence is at a very advanced and futuristic level today, there is still so much more we can do but are limited because of the unavailability of certain forms of technology. In cases like this, all we can do is to develop theories and concepts with the hope that technology will soon catch up with us and our theories and concepts can be made practical.

即使當今人工智能處于非常先進和未來的水平，我們仍然可以做更多的事情，但是由于某些形式的技術不可用而受到限制。 在這種情況下，我們所能做的就是發展理論和概念，希望技術很快能趕上我們，并且我們的理論和概念可以付諸實踐。

• Do I Have The Required Skills To Build This Project?

  我是否具備構建該項目所需的技能？

It is very important to consider your current skill set before you start implementing a project idea. If you lack the required skills, you can dedicate some time to learn the necessary skills. You could also team up with a group of like-minded people and work together on building that project.

在開始實施項目構想之前，考慮當前的技能非常重要。 如果您缺少必要的技能，則可以花一些時間來學習必要的技能。 您也可以與一群志趣相投的人合作，共同建設該項目。

Júnior Ferreira on 儒尼奧爾·費雷拉在UnsplashUnsplash

An idea that is developed and put into action is more important than an idea that exists only as an idea.– Buddha

形成并付諸實踐的想法比僅作為想法存在的想法更為重要。–佛陀

It is tough to get your idea into production, but it is not impossible. Believe in your idea even if you are the only one who does. Work hard to achieve your goals and you will definitely be successful.

很難將您的想法付諸實踐，但這并非不可能。 即使您是唯一的人，也要相信您的想法。 努力實現目標，您一定會成功。

Thank you for making time to read this story. I hope you learned something new and it has been helpful. You are welcome to share your thoughts and opinions in the response section and you can contact me directly on Twitter or LinkedIn. Happy Hacking!

感謝您抽出時間閱讀這個故事。 希望您學到了一些新知識，對您有所幫助。 歡迎您在回復部分中分享您的想法和觀點，您可以直接在Twitter或LinkedIn上與我聯系。 快樂黑客！

A big thank you to Anna Ayiku for proofreading and correcting the many mistakes I made writing this.

非常感謝 Anna Ayiku 校對并糾正了我在撰寫本文時犯下的許多錯誤。

翻譯自: https://towardsdatascience.com/how-to-come-up-with-amazing-ai-ml-or-data-science-project-ideas-53bae19b5fa0

護理方面關于人工智能的構想

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